Company Description
Walmart Global Tech is at the forefront of AI innovation, leveraging cutting-edge technologies to redefine customer experiences. We are seeking a Senior Machine Learning Engineer with deep expertise in Generative AI, LLMs, and scalable system design to drive impactful solutions.
Job Description
We are seeking a Senior Machine Learning Engineer to design and deploy AI systems using LLMs, RAG frameworks, and advanced agentic techniques. In this role, you will focus on building scalable pipelines, integrating external data sources, and collaborating with teams to deliver high-impact AI-driven products.
Key Responsibilities:
AI Development & Agentic Frameworks:
System Design & Scalability:
Collaboration & Integration:
Leadership & Mentorship:
Qualifications
Required Skills & Experience:
Preferred Qualifications:
Additional Information
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert’s and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
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